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Evaluation of two algorithms for a network of coastal HF radars in the Mid-Atlantic Bight

机译：评估大西洋中部沿海沿海高频雷达网络的两种算法

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The National High Frequency (HF) Surface Current Mapping Radar Network is being developed as a backbone system within the U.S. Integrated Ocean Observing System. This paper focuses on the application of HF radar-derived surface current maps to U.S. Coast Guard Search and Rescue operations along the Mid-Atlantic coast of the USA. In that context, we evaluated two algorithms used to combine maps of radial currents into a single map of total vector currents. In situ data provided by seven drifter deployments and four bottom-mounted current meters were used to (1) evaluate the well-established unweighted least squares (UWLS) and the more recently adapted optimal interpolation (OI) algorithms and (2) quantify the sensitivity of the OI algorithm to varying decorrelation scales and error thresholds. Results with both algorithms were shown to depend on the location within the HF radar data footprint. The comparisons near the center of the HF radar coverage showed no significant difference between the two algorithms. The most significant distinction between the two was seen in the drifter trajectories. With these simulations, the weighting of radial velocities by distance in the OI implementation was very effective at reducing both the distance between the actual drifter and the cluster of simulated particles as well as the scale of the search area that encompasses them. In this study, the OI further reduced the already improved UWLS-based search areas by an additional factor of 2. The results also indicated that the OI output was relatively insensitive to the varying decorrelation scales and error thresholds tested.
机译：国家高频（HF）表面电流测绘雷达网络正在开发为美国综合海洋观测系统中的骨干系统。本文着重于将源自高频雷达的地表电流图应用于美国中大西洋沿岸的美国海岸警卫队搜救行动。在这种情况下，我们评估了两种算法，这些算法用于将径向电流图组合成总矢量电流的单个图。由七个漂移器部署和四个底部安装的电流计提供的现场数据用于（1）评估公认的未加权最小二乘（UWLS）和最近采用的最佳插值（OI）算法，以及（2）量化灵敏度OI算法可用于改变去相关尺度和误差阈值。两种算法的结果均显示取决于HF雷达数据足迹内的位置。 HF雷达覆盖范围中心附近的比较表明，两种算法之间没有显着差异。两者之间最明显的区别是在漂移轨迹上。通过这些模拟，OI实现中按距离对径向速度进行加权可以非常有效地减小实际漂移点和模拟粒子簇之间的距离以及包围它们的搜索区域的规模。在这项研究中，OI进一步​​将已经改进的基于UWLS的搜索区域减少了2倍。结果还表明，OI输出对于变化的去相关标度和测试的错误阈值相对不敏感。

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